Rendimientos Chiller

df.to_clipboard(index=True, header=True)
---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
Cell In[7], line 1
----> 1 df.to_clipboard(index=True, header=True)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\generic.py:3143, in NDFrame.to_clipboard(self, excel, sep, **kwargs)
   3076 r"""
   3077 Copy object to the system clipboard.
   3078 
   (...)
   3139    pyperclip.copy(html)
   3140 """
   3141 from pandas.io import clipboards
-> 3143 clipboards.to_clipboard(self, excel=excel, sep=sep, **kwargs)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\clipboards.py:134, in to_clipboard(obj, excel, sep, **kwargs)
    131 buf = StringIO()
    133 # clipboard_set (pyperclip) expects unicode
--> 134 obj.to_csv(buf, sep=sep, encoding="utf-8", **kwargs)
    135 text = buf.getvalue()
    137 clipboard_set(text)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\util\_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
    209     else:
    210         kwargs[new_arg_name] = new_arg_value
--> 211 return func(*args, **kwargs)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\generic.py:3720, in NDFrame.to_csv(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, lineterminator, chunksize, date_format, doublequote, escapechar, decimal, errors, storage_options)
   3709 df = self if isinstance(self, ABCDataFrame) else self.to_frame()
   3711 formatter = DataFrameFormatter(
   3712     frame=df,
   3713     header=header,
   (...)
   3717     decimal=decimal,
   3718 )
-> 3720 return DataFrameRenderer(formatter).to_csv(
   3721     path_or_buf,
   3722     lineterminator=lineterminator,
   3723     sep=sep,
   3724     encoding=encoding,
   3725     errors=errors,
   3726     compression=compression,
   3727     quoting=quoting,
   3728     columns=columns,
   3729     index_label=index_label,
   3730     mode=mode,
   3731     chunksize=chunksize,
   3732     quotechar=quotechar,
   3733     date_format=date_format,
   3734     doublequote=doublequote,
   3735     escapechar=escapechar,
   3736     storage_options=storage_options,
   3737 )

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\util\_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
    209     else:
    210         kwargs[new_arg_name] = new_arg_value
--> 211 return func(*args, **kwargs)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\formats\format.py:1189, in DataFrameRenderer.to_csv(self, path_or_buf, encoding, sep, columns, index_label, mode, compression, quoting, quotechar, lineterminator, chunksize, date_format, doublequote, escapechar, errors, storage_options)
   1168     created_buffer = False
   1170 csv_formatter = CSVFormatter(
   1171     path_or_buf=path_or_buf,
   1172     lineterminator=lineterminator,
   (...)
   1187     formatter=self.fmt,
   1188 )
-> 1189 csv_formatter.save()
   1191 if created_buffer:
   1192     assert isinstance(path_or_buf, StringIO)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\formats\csvs.py:261, in CSVFormatter.save(self)
    241 with get_handle(
    242     self.filepath_or_buffer,
    243     self.mode,
   (...)
    249 
    250     # Note: self.encoding is irrelevant here
    251     self.writer = csvlib.writer(
    252         handles.handle,
    253         lineterminator=self.lineterminator,
   (...)
    258         quotechar=self.quotechar,
    259     )
--> 261     self._save()

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\formats\csvs.py:266, in CSVFormatter._save(self)
    264 if self._need_to_save_header:
    265     self._save_header()
--> 266 self._save_body()

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\formats\csvs.py:304, in CSVFormatter._save_body(self)
    302 if start_i >= end_i:
    303     break
--> 304 self._save_chunk(start_i, end_i)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\io\formats\csvs.py:311, in CSVFormatter._save_chunk(self, start_i, end_i)
    308 slicer = slice(start_i, end_i)
    309 df = self.obj.iloc[slicer]
--> 311 res = df._mgr.to_native_types(**self._number_format)
    312 data = [res.iget_values(i) for i in range(len(res.items))]
    314 ix = self.data_index[slicer]._format_native_types(**self._number_format)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\internals\managers.py:502, in BaseBlockManager.to_native_types(self, **kwargs)
    497 def to_native_types(self: T, **kwargs) -> T:
    498     """
    499     Convert values to native types (strings / python objects) that are used
    500     in formatting (repr / csv).
    501     """
--> 502     return self.apply("to_native_types", **kwargs)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\internals\managers.py:352, in BaseBlockManager.apply(self, f, align_keys, ignore_failures, **kwargs)
    350         applied = b.apply(f, **kwargs)
    351     else:
--> 352         applied = getattr(b, f)(**kwargs)
    353 except (TypeError, NotImplementedError):
    354     if not ignore_failures:

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\internals\blocks.py:541, in Block.to_native_types(self, na_rep, quoting, **kwargs)
    538 @final
    539 def to_native_types(self, na_rep="nan", quoting=None, **kwargs) -> Block:
    540     """convert to our native types format"""
--> 541     result = to_native_types(self.values, na_rep=na_rep, quoting=quoting, **kwargs)
    542     return self.make_block(result)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\internals\blocks.py:2320, in to_native_types(values, na_rep, quoting, float_format, decimal, **kwargs)
   2315 elif values.dtype.kind == "f" and not is_sparse(values):
   2316     # see GH#13418: no special formatting is desired at the
   2317     # output (important for appropriate 'quoting' behaviour),
   2318     # so do not pass it through the FloatArrayFormatter
   2319     if float_format is None and decimal == ".":
-> 2320         mask = isna(values)
   2322         if not quoting:
   2323             values = values.astype(str)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\dtypes\missing.py:185, in isna(obj)
    108 def isna(obj: object) -> bool | npt.NDArray[np.bool_] | NDFrame:
    109     """
    110     Detect missing values for an array-like object.
    111 
   (...)
    183     Name: 1, dtype: bool
    184     """
--> 185     return _isna(obj)

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\dtypes\missing.py:214, in _isna(obj, inf_as_na)
    212     return False
    213 elif isinstance(obj, (np.ndarray, ABCExtensionArray)):
--> 214     return _isna_array(obj, inf_as_na=inf_as_na)
    215 elif isinstance(obj, ABCIndex):
    216     # Try to use cached isna, which also short-circuits for integer dtypes
    217     #  and avoids materializing RangeIndex._values
    218     if not obj._can_hold_na:

File ~\.conda\envs\nuevo2-env\lib\site-packages\pandas\core\dtypes\missing.py:304, in _isna_array(values, inf_as_na)
    302         result = ~np.isfinite(values)
    303     else:
--> 304         result = np.isnan(values)
    306 return result

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Rendimientos Chiller#